International Commercial Arbitration: A Canadian Perspective
Bibliographic record
Abstract
INTERNATIONAL COMMERCIAL arbitration is finding a safe haven in Canada after years of neglect, mistrust and misunderstanding. Canadian and international arbitration institutions are co-ordinating the resolution of many commercial disputes involving parties from different countries using Canada as the place of arbitration, subject to the laws of Canadian provinces, while including some Canadian arbitrators on arbitration panels. This article is intended to provide background and introductory information for individuals who wish to use or participate in the international arbitration process in Canada. It is also intended to provide individuals who are interested in international arbitration with a summary of the special features of the process in this country. In this article, we shall provide a general overview of the legal framework in Canada. This will be followed by a review of leading Canadian jurisprudence in the area of international commercial arbitration and a discussion of recent developments and trends. Finally, we shall review the work and services provided by a selection of autonomous Canadian and international arbitration institutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".